Not So Standard Deviations

164 - What is Data Science?

Sep 10, 2022
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Episode notes
1
Introduction
00:00 • 2min
2
Statistical Theory Text Book
02:28 • 2min
3
Do You Have That Book?
04:25 • 2min
4
You Make More From Your Books?
05:58 • 2min
5
Cowboy Boots or Cowboy Hat?
07:49 • 2min
6
Is That a New Job?
09:21 • 2min
7
Data Science - You Don't Want to Commit Pats Yet?
11:37 • 2min
8
Data Science Department
13:07 • 2min
9
What Is Data Science?
14:47 • 3min
10
Can You Indorse Me for Parallel Parking?
17:34 • 2min
11
Machine Learning Engineer
19:15 • 2min
12
Machine Learning Deployment
21:39 • 3min
13
Are You a Data Science Teacher?
24:29 • 2min
14
Is Biostatistics Defining Academic Study?
26:36 • 2min
15
Hopkins
28:26 • 3min
16
Can You Do Machine Learning Without Data Analysis?
31:55 • 2min
17
Can You Build Skill With an Algorithm?
33:32 • 2min
18
Would the M L Engineers Be Artists?
35:42 • 2min
19
Machine Learning
37:16 • 2min
20
Is There a Data Analyst on the Product Side?
38:51 • 3min
21
Is There a Conflict of Interest Between Analysts and Data Analysts?
41:30 • 3min
22
Data Science Training
44:46 • 2min
23
Data Analyst - Is That a Data Analyst?
46:53 • 2min
24
No Code Platforms - You Need Me to Build a Nab, Right?
48:47 • 3min
25
You Can't Really Guarantee an Outcome
51:32 • 2min
26
Why Is It So Hard to Succeed in Business?
53:38 • 2min
27
I Was Like, Al My Gase, You're Not Goig Tweedli Message Fo Twee From Trump
55:26 • 3min
28
The Limitation of the Corporation, Right?
58:07 • 2min
29
Is There a Cambrian Explosion?
01:00:30 • 5min